Skip to main content
SpringerLink
Log in

Advanced Technologies for Landslides (WCoE 2017–2020)

  • Chapter
  • First Online:
Understanding and Reducing Landslide Disaster Risk (WLF 2020)

Part of the book series: ICL Contribution to Landslide Disaster Risk Reduction ((CLDRR))

Included in the following conference series:

  • 1250 Accesses

Abstract

The UNESCO Chair on Prevention and Sustainable Management of Geo-Hydrological Hazards, Department of earth Sciences, University of Florence has been a member of the International Consortium on Landslides (ICL) since 2002 and was designated as one of World Centres of Excellence (WCoE) for Landslide Risk Reduction four times for 2008–2011, 2011–2014, 2014–2017 and 2017–2020 with a project entitled “Advanced technologies for Landslides”. In this paper we describe the activities carried out by the UNESCO Chair as a member of ICL and as WCoE and its contribution to the risk reduction policies promoted by the 2020 Kyoto Commitment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bardi F, Raspini F, Frodella W, Lombardi L, Nocentini M, Gigli G, Morelli S, Corsini A, Casagli N (2017) Monitoring the rapid-moving reactivation of earth flows by means of GB-InSAR: the April 2013 Capriglio landslide (Northern Appennines, Italy). Remote Sens 9(2):165

    Article  Google Scholar 

  • Bicocchi G, Tofani V, D’Ambrosio M, Tacconi-Stefanelli C, Vannocci P, Casagli N, Lavorini G, Trevisani M, Catani F (2019) Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling. Bull Eng Geol Env 78:4875–4891

    Article  Google Scholar 

  • Carlà T, Tofani V, Lombardi L, Raspini F, Bianchini S, Bertolo D, Thuegaz P, Casagli N (2019a) Combination of GNSS, satellite InSAR, and GBInSAR remote sensing monitoring to improve the understanding of a large landslide in high alpine environment. Geomorphology 335:62–75

    Article  Google Scholar 

  • Carlà T, Nolesini T, Solari L, Rivolta C, Dei Cas L, Casagli N (2019b) Rockfall forecasting and risk management along a major transportation corridor in the Alps through ground-based radar interferometry. Landslides 16:1425–1435

    Article  Google Scholar 

  • Carlà T, Intrieri E, Di Traglia F, Nolesini T, Gigli G, Casagli N (2017) Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses. Landslides 14(2):517–534

    Article  Google Scholar 

  • Casagli N, Tofani V (2018) Establishment of ICL Italian network. Landslides 15:1907–1908

    Article  Google Scholar 

  • Casagli N, Frodella W, Morelli S, Tofani V, Ciampalini A, Intrieri E, Raspini F, Rossi G, Tanteri L, Lu P (2017) Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning. Geoenviron Disasters 4(9)

    Google Scholar 

  • Del Soldato M, Riquelme A, Bianchini S, Tomàs R, Di Martire D, De Vita P, Moretti S, Calcaterra D (2018a) Multisource data integration to investigate one century of evolution for the Agnone landslide (Molise, southern Italy). Landslides 78:2387–2408

    Google Scholar 

  • Del Soldato M, Pazzi V, Segoni S, De Vita P, Tofani V, Moretti S (2018b) Spatial modeling of pyroclastic cover deposit thickness (depth to bedrock) in peri-volcanic areas of Campania (southern Italy). Earth Surf Proc Land 43(1757):1767

    Google Scholar 

  • Di Traglia F, Nolesini T, Ciampalini A, Solari L, Frodella W, Bellotti F, Fumagalli A, De Rosa G, Casagli N (2018) Tracking morphological changes and slope instability using spaceborne and ground-based SAR data. Geomorphology 300:95–112

    Article  Google Scholar 

  • Ferretti A, Fumagalli A, Novali F, Prati C, Rocca F, Rucci A (2011) A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE Trans Geosci Remote Sens 49(9):3460–3470

    Google Scholar 

  • Frodella W, Ciampalini A, Bardi F, Salvatici T, Di Traglia F, Basile G, Casagli N (2018) A method for assessing and managing landslide residual hazard in urban areas. Landslides 15:183–197

    Article  Google Scholar 

  • Frodella W, Gigli G, Morelli S, Lombardi L, Casagli N (2017) Landslide mapping and characterization through Infrared Thermography (IRT): suggestions for a methodological approach from some case studies. Remote Sens 9(12)

    Google Scholar 

  • Intrieri E, Raspini F, Fumagalli A, Lu P, Del Conte S, Farina P, Allievi J, Ferretti A, Casagli N (2018) The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data. Landslides 15:123–133

    Article  Google Scholar 

  • Lombardi L, Nocentini M, Frodella W, Nolesini T, Bardi F, Intrieri E, Carlà T, Solari L, Dotta G, Ferrigno F, Casagli N (2017) The Calatabiano landslide (southern Italy): preliminary GB-InSAR monitoring data and remote 3D mapping. Landslides 14:685–696

    Article  Google Scholar 

  • Pastonchi L, Barra A, Monserrat O, Luzi G, Solari L, Tofani V (2018) Satellite data to improve the knowledge of geohazards in world heritage sites. Remote Sens 10(7):992

    Article  Google Scholar 

  • Raspini F, Bardi F, Bianchini S, Ciampalini A, Del Ventisette C, Farina P, Ferrigno F, Solari L, Casagli N (2017) The contribution of satellite SAR-derived displacement measurements in landslide risk management practices. Nat Hazards 86(1):327–351

    Article  Google Scholar 

  • Raspini F, Bianchini S, Ciampalini A, Del Soldato M, Solari L, Novali F, Del Conte S, Rucci A, Ferretti A, Casagli N (2018) Continuous, semi-automatic monitoring of ground deformation using Sentinel-1 satellites. Sci Rep 8(1):1–11

    Article  Google Scholar 

  • Raspini F, Bianchini S, Ciampalini A, Del Soldato M, Montalti R, Solari L, Tofani V, Casagli C (2019) Permanent Scatterers continuous streaming for landslide monitoring and mapping: the case of Tuscany Region (Italy). Landslides 16:2033–2044

    Article  Google Scholar 

  • Rosi A, Tofani V, Tanteri L, Tacconi SC, Agostini A, Catani F, Casagli N (2018) The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution. LANDSLIDES 15:5–19

    Article  Google Scholar 

  • Rosi A, Tofani V, Agostini A, Tanteri L, Tacconi Stefanelli C, Catani F, Casagli N (2016) Subsidence mapping at regional scale using persistent scatters interferometry (PSI): the case of Tuscany region (Italy). Int J Appl Earth Obs Geoinf 52:328–337

    Article  Google Scholar 

  • Rosi A, Agostini A, Tofani V, Casagli N (2014) A procedure to map subsidence at the regional scale using the persistent scatterer interferometry (PSI) technique. Remote Sens 6(11):10510–10522

    Article  Google Scholar 

  • Rossi G, Catani F, Leoni L, Segoni S, Tofani V (2013) HIRESSS: a physically based slope stability simulator for HPC applications. Nat Hazards Earth Syst Sci 13:151–166

    Article  Google Scholar 

  • Rossi G, Tanteri L, Tofani V, Vannocci P, Moretti S, Casagli N (2018) Multitemporal UAV surveys for landslide mapping and characterization. Landslides 15:1045–1052

    Article  Google Scholar 

  • Salvatici T, Tofani V, Rossi G, D’Ambrosio M, Tacconi Stefanelli C, Masi EB, Rosi A, Pazzi V, Vannocci P, Petrolo M, Catani F, Ratto S, Stevenin H, Casagli N (2018) Application of a physically based model to forecast shallow landslides at a regional scale. Nat Hazards Earth Syst Sci 18(7):1919–1935

    Article  Google Scholar 

  • Sassa K (2015) ISDR-ICL Sendai Partnerships 2015–2025 for global promotion of understanding and reducing landslide disaster risk. Landslides 12(4):631–640

    Article  Google Scholar 

  • Sassa K (2017) The 2017 Ljubljana declaration on landslide risk reduction and the Kyoto 2020 commitment for global promotion of understanding and reducing landslide disaster risk. Landaslides 14(4):1289–1296

    Article  Google Scholar 

  • Sassa K (2018a) Zero draft of the Kyoto 2020 commitment for global promotion of understanding and reducing landslide disaster risk. Landslides 15(3):389–392

    Article  Google Scholar 

  • Sassa K (2018b) The Fifth World Landslide Forum—implementing and monitoring the ISDR-ICL Sendai Partnerships 2015–2025—organization plans, themes and sessions. Landslides 15(3):617–620

    Article  Google Scholar 

  • Sassa K (2018c) ICL Journal “Landslides” and the Kyoto 2020 commitment. Landslides 15(9):1705–1712

    Article  Google Scholar 

  • Sassa K (2019) The Fifth World Landslide Forum and the final draft of the Kyoto 2020 Commitment. Landslides 16(2):201–211

    Article  Google Scholar 

  • Segoni S, Tofani V, Rosi A, Catani F, Casagli N (2018a) Combination of rainfall thresholds and susceptibility maps for dynamic landslide hazard assessment at regional scale. Front Earth Sci 6:1–11

    Article  Google Scholar 

  • Segoni S, Rosi A, Fanti R, Gallucci A, Monni A, Casagli N (2018b) A regional-scale landslide warning system based on 20 years of operational experience. Water 10:1297

    Google Scholar 

  • Solari L, Raspini F, Del Soldato M, Bianchini S, Ciampalini A, Ferrigno F, Tucci S, Casagli N (2018) Satellite radar data for back-analyzing a landslide event: the Ponzano (Central Italy) case study. Landslides 15(4):773–782

    Article  Google Scholar 

  • Solari L, Del Soldato M, Montalti R, Bianchini S, Raspini F, Thuegaz P, Tofani V, Casagli N (2019) A Sentinel-1 based hot-spot analysis: landslide mapping in north-western Italy. Int J Remote Sens 40(20):7898–7921

    Google Scholar 

  • Tofani V, Bicocchi G, Rossi G, Segoni S, D’Ambrosio M, Casagli N, Catani F (2017) Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy). Landslides 14:755–770

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Earth Sciences, University of Florence, Via la Pira 4, 50121, Florence, Italy

    Nicola Casagli, Veronica Tofani, Filippo Catani, Sandro Moretti, Riccardo Fanti, Giovanni Gigli, Silvia Bianchini & Federico Raspini

Authors
  1. Nicola Casagli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Veronica Tofani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Filippo Catani
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sandro Moretti
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Riccardo Fanti
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Giovanni Gigli
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Silvia Bianchini
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Federico Raspini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nicola Casagli .

Editor information

Editors and Affiliations

  1. International Consortium on Landslides, Sakyo-ku, Kyoto, Japan

    Kyoji Sassa

  2. Faculty of Civil & Geodetic Eng, University of Ljubljana, Ljubljana, Slovenia

    Matjaž Mikoš

  3. Port and Airport Research Institute, National Institute of Maritime, Port and Aviation Technology, Yokosuka City, Japan

    Shinji Sassa

  4. Natural Resources Canada, Geological Survey of Canada, Sidney, BC, Canada

    Peter T. Bobrowsky

  5. Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Kyoto, Kyoto, Japan

    Kaoru Takara

  6. Department of Civil and Earth Resources, Kyoto University, International Consortium on Landslides, Sakyo-ku Kyoto, Kyoto, Japan

    Khang Dang

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Casagli, N. et al. (2021). Advanced Technologies for Landslides (WCoE 2017–2020). In: Sassa, K., Mikoš, M., Sassa, S., Bobrowsky, P.T., Takara, K., Dang, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60196-6_18

Download citation

Publish with us

Policies and ethics

Search

Navigation